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Carlos A. Haro

Economist with experience in data science

Main focus on data visualization and supervised learning.

Education

(ITAM) Instituto Tecnológico Autónomo de México

B.S., Economics

Mexico City, Mexico

2014 - 2018

Experience

Sr. Data Scientist

Mexico’s Central Tax Administration Office
(Servicio de Administración Tributaria)

Mexico City

Jan. 2019 - present

Development and deployment of a supervised model for classifying tax debt | R (tidyverse, ranger), Python (scikit-learn, pandas), SQL
Designed and taught three courses for the institution’s staff training: introduction to R, basics of exploratory data analysis, building data science pipelines using Makefiles | R (tidyverse, ggplot2), GNU Make
Designed a pipeline for automatic generation of frequent data visualization reports | R Markdown (ggplot2, shiny)
Perform network analysis to detect tax evasion communities | R (tidyverse, visnetwork, ggraph)
Version control of cloropleth maps for the geographical display of taxpayer’s data | R (leaflet QGis)

Jr. Data Scientist | Economic Analyst

EnergeA
(Energy Sector Consulting Firm)

Mexico City

2018

Developed a statistical model for identifying anti-competitive practices between the mid-stream natural gas providers | R
Neighboring gas station’s competition analysis for identifying price setting mechanisms. | R
Built a PDF scrapping pipeline of 100+ files for ownership analysis of Mexico’s natural gas industry. | R (stringr, selenium)

Miscellaneous

Hackaton challenge winner

Annual BBVA Hackaton Challenge

N/A

2019

Organizer: BBVA Bank
Challenge: Update and insert operation of a 50 million observations dataset in under 10 minutes.
Result: 95%+ accuracy of update and insert achieved in 4 minutes | Pyspark on AWS for the algorithm, RMarkdown for the report

Hackaton participant

Annual Banamex Hackaton Challenge

N/A